SCWK9965 · Social Work
School of Social Work
This course provides students with an introduction to quantitative approaches for assessing the impacts of policies and programs. The focus is on understanding these methods intuitively and applying them, rather than delving deeply into their mathematical foundations. Students will explore the practical application, strengths, and limitations of randomized experiments and quasi-experimental designs through analysis and critique of examples from social work and health-related literature. The goal is to build students skills as both consumers and producers of applied empirical research. Additionally, the course includes hands-on experience with Stata, covering tasks such as data cleaning, management, and analysis of quantitative data.Prerequisites: At least one semester, but preferably one year, of graduate-level statistics,with experience in linear and logistic regression analysis. Stata statistical software will be used in the course.
Course experience
Averages use the original five-point historical evaluation scale.
Organization
4.7 / 5
How well the course was organized
Challenge
4.7 / 5
How intellectually challenging students found it
Attendance
4.8 / 5
How necessary attendance was
Assignments
4.8 / 5
How helpful assignments were
Weekly effort
~5
hours per week
Estimated from the original workload response buckets. Individual sections may differ.
Instructor options
Ratings below reflect only recovered evaluations connected to this course.
Across time
Section-level results available in the recovered archive.
Summer 2024
1 section